Abstract
We develop and test an intuitively simple dynamic network model to describe the type of time-varying connectivity structure present in many technological settings. The model assumes that nodes have an inherent hierarchy governing the emergence of new connections. This idea draws on newly established concepts in online human behaviour concerning the existence of discussion catalysts, who initiate long threads, and online leaders, who trigger feedback. We show that the model captures an important property found in e-mail and voice call data – ‘dynamic communicators’ with sufficient foresight or impact to generate effective links and having an influence that is grossly underestimated by static measures based on snaphots or aggregated data.
Original language | English |
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Pages (from-to) | 659-668 |
Number of pages | 10 |
Journal | European Journal of Applied Mathematics |
Volume | 23 |
Issue number | 6 |
DOIs | |
Publication status | Published - 26 Jun 2012 |
Keywords / Materials (for Non-textual outputs)
- complex networks
- stochastic models
- social networks
- dynamic communicators
- model